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We present a rank- algorithm for general matrix multiplication that uses additions/subtractions and multiplications, for a total of scalar operations in the standard bilinear straight-line model. This improves the recent sequence of -, -, and -addition rank- schemes. The algorithm works over arbitrary associative, possibly noncommutative, coefficient rings. Its tensor coefficients are ternary, meaning that every coefficient lies in . Correctness is certified by the Brent equations over , and the verifier also expands the straight-line program and performs additional finite-field and noncommutative implementation tests.

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